As physiological signals that are closely related to human motion, surface electromyography
(sEMG) signals have been widely used in human-robot interaction systems (HRISs). Some …

Movements are generated by the coordinated activation of motor units. Recent technological
advances have made it possible to identify the concurrent activity of several tens of motor …

The intuitive control of upper-limb prostheses requires a man/machine interface that directly
exploits biological signals. Here, we define and experimentally test an offline man/machine …

Recent decades have seen a move toward evidence-based medicine to inform the clinical
decision-making process with reproducible findings from high-quality research studies …

Paralysis of the muscles controlling the hand dramatically limits the quality of life for
individuals living with spinal cord injury (SCI). Here, with a non-invasive neural interface, we …

The surface interference EMG signal provides some information on the neural drive to
muscles. However, the association between neural drive to muscle and muscle activation …

The purpose of our study was to identify the low-dimensional latent components, defined
hereafter as motor unit modes, underlying the discharge rates of the motor units in two knee …

A long history has passed since electromyography (EMG) signals have been explored in
human-centered robots for intuitive interaction. However, it still has a gap between scientific …

Key points The spinal alpha motoneuron is the only cell in the human CNS whose discharge
can be routinely recorded in humans. We have reengineered motor unit collection and …

Blind source separation (BSS) algorithms, such as gradient convolution kernel
compensation (gCKC), can efficiently and accurately decompose high-density surface …